Model Selection and Model Averaging

In many fields, researchers are interested in comparing different models that describe possible relationships in their data. In this workshop, we will examine one approach to identifying models that best represent the amount of data based evidence useful in comparing a set of models developed by a researcher attempting to address a specific research question.

This material is based upon work supported by the National Science Foundation under Grant No. (0930182)Any opinions, findings, and conclusions or recommendations expressed in this material are those of The Graduate School at Michigan State University and do not necessarily reflect the views of the National Science Foundation.